Aug 17 2009
Papers
[1] Target Tracking Using SIR and MCMC Particle Filters by Multiple Cameras and Laser Range Finders. PDF
[2] A Low Cost Localization Solution Using a Kalman Filter for Data Fusion. PDF
[3] A Multi-Target Tracking and GMM-Classifier for Intelligent Vehicles. PDF
[4] Multiple Target Tracking for Surveillance: A Particle Filter Approach. PDF
[5] Tracking and Classification of Dynamic Obstacles Using Laser Range Finder and Vision. PDF
[6] Multi-target Detection and Tracking with a Laserscanner. PDF
[7] Person Following through Appearance Models and Stereo Vision using a Mobile Robot. PDF
[8] SEGMENTATION AND GEOMETRIC PRIMITIVES EXTRACTION FROM 2D LASER RANGE DATA FOR MOBILE ROBOT APPLICATIONS. PDF
[9] Multisensor-Based Human Detection and Tracking for Mobile Service Robots. PDF
[10] Bearings-Only Tracking using Data Fusion and Instrumental Variables. PDF
[11] Panoramic Vision and Laser Range Finder Fusion for Multiple Person Tracking. PDF
[12] Mapping and Localization from a Panoramic Vision Sensor. PDF
[13] Localization for Mobile Robots using Panoramic Vision, Local Features and Particle Filter. PDF
♥ [14] 3D Person Tracking with a Color-Based Particle Filter. PDF
[15] Detecting and Following Humans with a Mobile Robot. PDF
[16] People tracking and following with mobile robot using an omnidirectional camera and a laser. PDF
[17] Vision Based Person Tracking with a Mobile Robot. PDF
[18] Person Tracking with a Mobile Robot using Two Uncalibrated Independently Moving Cameras. PDF
[19] Human- and Situation-Aware People Following. PDF
♥ [20] Person Identification by Mobile Robots in Indoor Environments. PDF
[21] Cognitive Data Association for Visual Person Tracking. PDF
[22] Multisensor Integration for Human-Robot Interaction. PDF
♥ [23] Using Kalman Filter to track Human Interactive Motion, Modeling and Initialization of the Kalman Filter for Transitional Motion. PDF
[24] Vision-Based Human Tracking and Activity Recognition. PDF
♥ [25] FACE TRACKING BASED ON HAAR-LIKE FEATURES AND EIGENFACES. PDF
[26] VIDEO OBJECT TRACKING USING REGION SPLIT AND MERGE AND A KALMAN FILTER TRACKING ALGORITHM. PDF
[27] Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. PDF
♥ [28] PEOPLE TRACKING WITH A MOBILE ROBOT: A COMPARISON OF KALMAN AND PARTICLE FILTERS. PDF
[29] Tracking Multiple Moving Targets with a Mobile Robot using Particle Filters and Statistical Data Association. PDF
[30] People Tracking with Mobile Robots Using Sample-based Joint Probabilistic Data Association Filters. PDF
[31] Fast Face Detection for Mobile Robots by Integrating Laser Range Data with Vision. PDF
[32] Faster and More Accurate Face Detection on Mobile Robots Using Geometric Constraints. PDF
